App Development in Biology
Empowering Biologists with the Tools to Develop Custom Apps for Research and Education.
About This Course
Biology is a data-intensive field, with applications spanning genomics, ecology, bioinformatics, and laboratory research. With the growing need for accessible, user-friendly tools, the development of mobile and web applications has become increasingly important. These apps can aid in everything from data visualization and analysis to collaboration and communication in the lab and field.
This workshop focuses on app development for biology, providing an introduction to coding for biology-specific applications. Participants will be introduced to programming languages like Python, JavaScript, and tools such as BioPython and React Native, enabling them to create applications that are both powerful and intuitive for biologists. Case studies and real-world examples of successful bio-apps will also be presented.
Aim
This workshop aims to teach participants how to develop mobile and web applications tailored for biological research, data analysis, and education. Through hands-on sessions, participants will learn how to create practical apps for tasks such as biological data visualization, genetic analysis, and field research support, empowering biologists to integrate technology into their workflows.
Workshop Objectives
- Understand the basics of mobile and web app development specific to biology.
- Learn to create apps for biological data visualization and analysis.
- Develop basic skills in coding for bioinformatics and biological research applications.
- Explore available tools and frameworks (BioPython, React Native) for biology-related app development.
- Apply app development knowledge to create a basic biology-related app or tool by the end of the workshop.
Workshop Structure
Day 1: Introduction to App Development and Python for Biology
- App Development Basics: Importance in biological research, app development process overview.
- Python Basics: Syntax, variables, data types; intro to Pandas and NumPy for data analysis.
- Development Environment Setup: Install Python, libraries, and intro to Flask (web) or Kivy (mobile).
- Hands-on: Write a Python script to analyze basic biological data (e.g., gene sequences).
Day 2: Developing Biological Apps & Using BioPython
- BioPython: Handling biological data (DNA/RNA, protein structures), fetching data from GenBank.
- Building Biological Apps: Intro to Flask/Kivy for web/mobile apps to visualize data.
- Data Integration: Fetch biological data from APIs (e.g., NCBI) and display in app interface.
- Hands-on: Create an app to fetch and display DNA sequence data using Flask/Kivy.
Day 3: Advanced Features, ML for Biology, Final Project
- ML for Biology: Basics of ML, predicting biological data (gene expression, protein function).
- Incorporating ML in Apps: Using Scikit-learn for predictive models, integrating ML in apps.
- Final Project: Develop a complete app (e.g., DNA sequence analyzer, genetic disorder predictor).
Who Should Enrol?
- Undergraduate/Postgraduate Degree in Biology, Biotechnology, Bioinformatics, Computational Biology, or related fields.
- Professionals in biology research, bioinformatics, or biological data analysis.
- Developers and Data Scientists interested in creating applications for biology and healthcare sectors.
- Individuals interested in integrating app development skills with biological research or education.
Important Dates
Registration Ends
10/25/2025
IST 7:00 PM
Workshop Dates
10/25/2025 – 10/27/2025
IST 8:00 PM
Workshop Outcomes
- App Development Skills: Learn the basics of mobile and web app development for biology.
- Bioinformatics Tools: Gain hands-on experience using tools like BioPython and React Native to build biological apps.
- Data Visualization: Learn how to visualize biological data and integrate it into intuitive applications.
- Real-World Application: Develop an app prototype for a biology-related problem or research question.
- Problem Solving: Gain the ability to address challenges in biological research through customized applications.
Meet Your Mentor(s)
Prof. Kumud Malhotra
Prof. Kumud Malhotra, Dean of the University Institute of Physical and Life Sciences with 30 years of experience is an academician and administrator and has attained the highest echelons in the educational sector by managing senior positions, like Director, Dean, Managing Editor, or Editor-in-Chief . . .
Fee Structure
Student Fee
₹1499 | $55
Ph.D. Scholar / Researcher Fee
₹2499 | $65
Academician / Faculty Fee
₹3499 | $80
Industry Professional Fee
₹4499 | $90
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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